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Record W4296373824 · doi:10.52567/pjsr.v4i2.546

PAKISTAN-CANADA RELATIONS: PROSPECTS AND CHALLENGES

2022· article· en· W4296373824 on OpenAlexaboutno aff
Ayesha Siddiqa, Sarah Ahsan

Bibliographic record

VenuePakistan Journal of Social Research · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsPolitical scienceHofstede's cultural dimensions theoryIntervention (counseling)Qualitative propertyCultural issuesQualitative researchEconomic growthDevelopment economicsSociologyEconomicsSocial sciencePsychology

Abstract

fetched live from OpenAlex

This research has explored the prospects of enhancing Pakistan-Canada bilateral relations. Given Pakistan’s recent shift towards geoeconomics, the country envisages stronger economic ties with all international partners. This study, however, argues that economic cooperation is closely tied to cultural engagement and people-to-people contacts. Hence, while Pakistan needs to develop effective policy measures to enhance economic ties with Canada, it also needs to invest in the cultural dimension to promote “brand Pakistan”. The study was divided into three parts: the first part reviewed the literature available on Pak-Canada political and economic relationship to identify areas of intervention; the second part analyzed statistical data on Pak-Canada trade alongside key informant data to explore the potential for strengthening economic and cultural ties; the last part provided policy recommendations for enhancing Pak-Canada relations. Drawing on a literature review, a statistical review, interviews, and focus-group discussions from a qualitative perspective, the research has argued that while Pakistan and Canada have maintained friendly bilateral relations over the last 75 years, there is a huge untapped potential in both the economic and cultural domains that can be exploited with effective policy measures. Keywords: Pakistan; Canada; Bilateral; Economy; Culture.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.119
GPT teacher head0.412
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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